Literature DB >> 7666096

Patient participation in clinical decision-making for treatment of T3 laryngeal cancer: a comparison of state and process utilities.

J van der Donk1, P C Levendag, A J Kuijpers, F H Roest, J D Habbema, C A Meeuwis, P I Schmitz.   

Abstract

PURPOSE: To study the use of two different approaches, and feasibility of four commonly used utility assessment methods to assess preferences for treatment of T3-laryngeal cancer by surgery or radiation therapy (RT).
METHODS: Utility assessment methods, namely, time trade-off (TTO), standard reference gamble (SRG), rating scale (RS), and direct comparison (DC), were used to assess utilities in two groups of former cancer patients (n = 10 for both), a group of clinicians (n = 9), and a group from the general population (n = 10). For the treatment modalities, ie, surgery and RT, two types of scenarios were developed and used: the state scenario, which describes a stable health state after treatment, and the process scenario, which describes a dynamic process. First, utilities were assessed based on state scenarios. Next, respondents were thoroughly informed and educated with respect to the relevant aspects of both treatment modalities. Subsequently, utilities were again assessed, but now based on the process scenarios. The outcome of each approach was calculated and expressed in a quality-adjusted life-expectancy (QALE) score for each treatment modality, and the treatment with the highest outcome was said to be the preferred treatment modality.
RESULTS: In general, a higher QALE score for each treatment modality was found for clinicians and for the general population as compared with the former-cancer-patient groups. When the outcome of both approaches was compared on an individual level dependent on the utility assessment method, 32% to 43% of respondents showed an inconsistent treatment preference.
CONCLUSION: The approach to assess utilities and the extent to which respondents are informed about treatment modalities have a major effect on individual treatment preferences.

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Year:  1995        PMID: 7666096     DOI: 10.1200/JCO.1995.13.9.2369

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  7 in total

Review 1.  Valuing health-related quality of life. A review of health state valuation techniques.

Authors:  C Green; J Brazier; M Deverill
Journal:  Pharmacoeconomics       Date:  2000-02       Impact factor: 4.981

2.  A new graphic for quality adjusted life years (Q-TWiST) survival analysis: the Q-TWiST plot.

Authors:  Jeff A Sloan; Daniel J Sargent; Jed Lindman; Cristine Allmer; Delfino Vargas-Chanes; Edward T Creagan; James A Bonner; Michael J O'Connell; Robert J Dalton; Kendrith M Rowland; Burke J Brooks; John A Laurie
Journal:  Qual Life Res       Date:  2002-02       Impact factor: 4.147

3.  Chained time trade-off and standard gamble methods. Applications in oesophageal cancer.

Authors:  Paul McNamee; Sharon Glendinning; Jonathan Shenfine; Nick Steen; S Michael Griffin; John Bond
Journal:  Eur J Health Econ       Date:  2004-02

4.  Validity of standard gamble utilities in patients referred for aortic valve replacement.

Authors:  Amjad I Hussain; Andrew M Garratt; Jan Otto Beitnes; Lars Gullestad; Kjell I Pettersen
Journal:  Qual Life Res       Date:  2015-11-24       Impact factor: 4.147

5.  Impact of nausea/vomiting on quality of life as a visual analogue scale-derived utility score.

Authors:  S M Grunberg; N Boutin; A Ireland; S Miner; J Silveira; T Ashikaga
Journal:  Support Care Cancer       Date:  1996-11       Impact factor: 3.603

6.  The impact of patient preference in the treatment algorithm for recurrent/metastatic head and neck squamous cell carcinoma.

Authors:  Viola Salvestrini; Carlotta Becherini; Isacco Desideri; Luisa Caprara; Matteo Mariotti; Marco Banini; Nicola Pierossi; Vieri Scotti; Lorenzo Livi; Pierluigi Bonomo
Journal:  Radiol Med       Date:  2022-06-25       Impact factor: 6.313

Review 7.  A systematic literature review of health state utility values in head and neck cancer.

Authors:  Michela Meregaglia; John Cairns
Journal:  Health Qual Life Outcomes       Date:  2017-09-02       Impact factor: 3.186

  7 in total

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